python train_lstm.py -l <number_of_hidden_units> -n <number_of_epochs> -m <model_name_to_save_loss> > bg/run_logs.txt
python train_rnn.py -l <number_of_hidden_units> -n <number_of_epochs> -m <model_name_to_save_loss> > bg/run_logs.txt
plotGraph.ipynb
sample_lstm.py / sample_lstm.ipynb